Today, digitalization decisively penetrates all the sides of the modern society. One of the key
enablers to maintain this process secure is authentication. It covers many different areas of a …

Iris segmentation is a critical step for improving the accuracy of iris recognition, as well as for
medical concerns. Existing methods generally use whole eye images as input for network …

The recent advancements in computer vision have opened new horizons for deploying
biometric recognition algorithms in mobile and handheld devices. Similarly, iris recognition …

This paper presents recent advances in biometric recognition, where we focus on face,
fingerprint and iris recognition, which are major research topics on biometric recognition. We …

Most modern security systems depend on biometrics. Unfortunately, these systems have
suffered from hacking trials. If the biometric databases have been hacked and stolen, the …

Biometric recognition technology based on eye-movement dynamics has been in
development for more than ten years. Different visual tasks, feature extraction and feature …

Today, recognition of people by the iris is widely used when secure identification of a person
is needed. Iris biometric identification systems should be able to work with heterogeneous …

We live in a society which is increasingly interconnected, in which communication between
individuals is mostly mediated via some electronic platform, and transactions are often …

In recent years, cross spectral matching has been gaining attention in various biometric
systems for identification and verification purposes. Cross spectral matching allows images …

Recent development of sensors has allowed to explore the possibility of biometric
authentication beyond visible spectrum. Particularly, multi-spectral imaging has shown a …